‪Jay Mohta‬ - ‪Google Scholar‬

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Co-authors

Colin RaffelUniversity of Toronto, Vector Institute and Hugging FaceVerified email at cs.toronto.edu
Derek TamUniversity of TorontoVerified email at cs.toronto.edu
Tenghao HuangUniversity of Southern CaliforniaVerified email at usc.edu
Mohammed MuqeethUNC Chapel HillVerified email at cs.unc.edu
Haokun LiuUNC Chapel HillVerified email at cs.unc.edu
Kenan Emir AkApplied Scientist, Amazon, United StatesVerified email at amazon.com

Jay Mohta

Jay Mohta

Amazon

Verified email at ncsu.edu

Machine Learning Natural Language Processing


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Few-shot parameter-efficient fine-tuning is better and cheaper than in-context learning H Liu, D Tam, M Muqeeth, J Mohta, T Huang, M Bansal, CA Raffel Advances in Neural Information Processing Systems 35, 1950-1965, 2022	395	2022
The impact of domain shift on the calibration of fine-tuned models J Mohta, C Raffel NeurIPS 2021 Workshop on Distribution Shifts: Connecting Methods and …, 2021	1	2021
Are large language models good annotators? J Mohta, KE Ak, Y Xu, M Shen NeurIPS 2023 Workshop on I Can’t Believe It’s Not Better (ICBINB), 2023		2023
Prompting language models improves performance in imbalanced setting J Mohta Association for Computational Linguistics Proceedings of The Fourth Workshop …, 2023		2023

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